Literature DB >> 26802316

Perinatal Major Depression Biomarkers: A systematic review.

M Serati1, M Redaelli2, M Buoli2, A C Altamura2.   

Abstract

Postpartum depression, now termed perinatal depression by the DSM-5, is a clinically relevant disorder reaching 15% of incidence. Although it is quite frequent and associated with high social dysfunction, only recently its underpinning biological pathways have been explored, while multiple and concomitant risk factors have been identified (e.g. psychosocial stress). Peripartum depression usually has its onset during the third trimester of pregnancy or in the postpartum, being one of the most common medical complications in new mothers. Purpose of the present review is to summarize the state of art of biological biomarkers involved in the pathogenesis of perinatal depression, in view of the fact that suboptimal prenatal milieu can induce permanent damage in subsequent offspring life and have a negative impact on mother-child relationship. Furthermore, parents' biological changes due to medical/psychiatric disorders or stress exposure could influence offspring life: a concept known as 'intergenerational transmission', acting by variations into gametes and the gestational uterine environment. Given the evidence that perinatal mental disorders involve risks for the mother and offspring, the search for reliable biomarkers in high-risk mothers actually represents a medical priority to prevent perinatal depression.
Copyright © 2016 Elsevier B.V. All rights reserved.

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Year:  2016        PMID: 26802316     DOI: 10.1016/j.jad.2016.01.027

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  38 in total

1.  [Inflammatory Biomarkers and Postpartum Depression: A Systematic Review of Literature].

Authors:  Mathilde Lambert; Florence Gressier
Journal:  Can J Psychiatry       Date:  2019-02-26       Impact factor: 4.356

Review 2.  The association between maternal cortisol and depression during pregnancy, a systematic review.

Authors:  Olivia R Orta; Bizu Gelaye; Paul A Bain; Michelle A Williams
Journal:  Arch Womens Ment Health       Date:  2017-09-24       Impact factor: 3.633

3.  Maternal mood symptoms in pregnancy and postpartum depression: association with exclusive breastfeeding in a population-based birth cohort.

Authors:  Simone Farías-Antúnez; Iná Silva Santos; Alicia Matijasevich; Aluisio Jardim Dornellas de Barros
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2020-01-02       Impact factor: 4.328

4.  Neural response to reward and psychosocial risk factors independently predict antenatal depressive symptoms.

Authors:  Elizabeth M Mulligan; Heather Flynn; Greg Hajcak
Journal:  Biol Psychol       Date:  2018-11-20       Impact factor: 3.251

Review 5.  Perinatal Depression in Low-Income Women: A Literature Review and Innovative Screening Approach.

Authors:  Susanne Klawetter; Cassidy McNitt; Jill A Hoffman; Kelly Glaze; Ashley Sward; Karen Frankel
Journal:  Curr Psychiatry Rep       Date:  2020-01-07       Impact factor: 5.285

6.  DNA methylation studies of depression with onset in the peripartum: A critical systematic review.

Authors:  Sarah Ellen Braun; Dana Lapato; Roy E Brown; Eva Lancaster; Timothy P York; Ananda B Amstadter; Patricia A Kinser
Journal:  Neurosci Biobehav Rev       Date:  2019-04-11       Impact factor: 8.989

7.  Examining the relationship between perinatal depression and neurodevelopment in infants and children through structural and functional neuroimaging research.

Authors:  Christy Duan; Megan M Hare; Morganne Staring; Kristina M Deligiannidis
Journal:  Int Rev Psychiatry       Date:  2019-01-31

8.  Postpartum depression and social support in a racially and ethnically diverse population of women.

Authors:  Christine Pao; Jerry Guintivano; Hudson Santos; Samantha Meltzer-Brody
Journal:  Arch Womens Ment Health       Date:  2018-07-03       Impact factor: 3.633

Review 9.  Precision medicine in perinatal depression in light of the human microbiome.

Authors:  Beatriz Peñalver Bernabé; Pauline M Maki; Shannon M Dowty; Mariana Salas; Lauren Cralle; Zainab Shah; Jack A Gilbert
Journal:  Psychopharmacology (Berl)       Date:  2020-02-17       Impact factor: 4.530

10.  Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women.

Authors:  Yiye Zhang; Shuojia Wang; Alison Hermann; Rochelle Joly; Jyotishman Pathak
Journal:  J Affect Disord       Date:  2020-09-30       Impact factor: 4.839

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